1 R yükleme

1.1 R-project

https://cran.r-project.org/

1.2 RStudio

https://www.rstudio.com/

https://www.rstudio.com/products/rstudio/download/

1.2.1 RStudio eklentileri

Discover and install useful RStudio addins

https://cran.r-project.org/web/packages/addinslist/README.html

https://rstudio.github.io/rstudioaddins/

devtools::install_github("rstudio/addinexamples", type = "source")

1.3 X11

https://www.xquartz.org/

1.4 Java OS

https://support.apple.com/kb/dl1572

2 R paketleri

I love the #rstats community.
Someone is like, “oh hey peeps, I saw a big need for this mundane but difficult task that I infrequently do, so I created a package that will literally scrape the last bits of peanut butter out of the jar for you. It's called pbplyr.”
What a tribe.
— Frank Elavsky ᴰᵃᵗᵃ ᵂᶦᶻᵃʳᵈ (@Frankly_Data) July 3, 2018

https://blog.mitchelloharawild.com/blog/user-2018-feature-wall/

Available CRAN Packages By Name https://cran.r-project.org/web/packages/available_packages_by_name.html
Bioconductor https://www.bioconductor.org

3 R için yardım

Vignette
RDocumentation https://www.rdocumentation.org
R Package Documentation https://rdrr.io/
GitHub
Stackoverflow
Google uygun anahtar kelime

Twitter

https://twitter.com/hashtag/rstats?src=hash

Tweet #rstats

4 R paket yükleme

install.packages("tidyverse", dependencies = TRUE)
install.packages("jmv", dependencies = TRUE)
install.packages("questionr", dependencies = TRUE)
install.packages("Rcmdr", dependencies = TRUE)

require(tidyverse)
require(jmv)
require(questionr)

5 R studio ile proje oluşturma

https://support.rstudio.com/hc/en-us/articles/200526207-Using-Projects

6 RStudio ile veri yükleme

https://support.rstudio.com/hc/en-us/articles/218611977-Importing-Data-with-RStudio

6.1 Excel

6.2 SPSS

6.3 csv

7 Veriyi görüntüleme

Spreadsheet users using #rstats: where's the data?#rstats users using spreadsheets: where's the code?
— Leonard Kiefer (@lenkiefer) July 7, 2018

summary()

View(data)

data

head

tail

glimpse

str

skimr::skim()

8 Veriyi değiştirme

8.1 Veriyi kod ile değiştirelim

8.2 Veriyi eklentilerle değiştirme

8.3 RStudio aracılığıyla recode

questionr paketi kullanılacak

https://juba.github.io/questionr/articles/recoding_addins.html

9 Basit tanımlayıcı istatistikler

summary() mean median min max sd table()

library(readr)
irisdata <- read_csv("data/iris.csv")

jmv::descriptives(
    data = irisdata,
    vars = "Sepal.Length",
    splitBy = "Species",
    freq = TRUE,
    hist = TRUE,
    dens = TRUE,
    bar = TRUE,
    box = TRUE,
    violin = TRUE,
    dot = TRUE,
    mode = TRUE,
    sum = TRUE,
    sd = TRUE,
    variance = TRUE,
    range = TRUE,
    se = TRUE,
    skew = TRUE,
    kurt = TRUE,
    quart = TRUE,
    pcEqGr = TRUE)

install.packages("scatr")

scatr::scat(
    data = irisdata,
    x = "Sepal.Length",
    y = "Sepal.Width",
    group = "Species",
    marg = "dens",
    line = "linear",
    se = TRUE)

10 Rcmdr

library(Rcmdr)

A Comparative Review of the R Commander GUI for R

http://r4stats.com/articles/software-reviews/r-commander/

11 Sonraki Konular

RStudio ile GitHub
Hipotez testleri
R Markdown ve R Notebook ile tekrarlanabilir rapor

12 Diğer kodlar

Diğer kodlar için bakınız: https://sbalci.github.io/

13 Geri Bildirim

Geri bildirim için tıklayınız: Geri bildirim formu

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

R ile analize başlarken

Serdar Balcı, MD, Pathologist

2018-07-12